Model comparison

DeepSeek V4.1 Flash vs GPT-6 Astra

Pricing, context window and real answers (September 2026)

DeepSeek V4.1 Flash (DeepSeek) and GPT-6 Astra (OpenAI), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.

Specs and pricing

deepseek logoDeepSeek V4.1 Flashopenai logoGPT-6 Astra
ProviderDeepSeekOpenAI
Input (per 1M tokens)¥50.69¥1,717.72
Output (per 1M tokens)¥202.74¥8,588.62
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥152¥6,012
Context window1,048,576 tokens1,050,000 tokens
Release date9/10/20269/4/2026
Input modalitiestext, imagefile, image, text
Arena · overallUnrankedUnranked
Arena · JapaneseUnrankedUnranked
Arena · codingUnrankedUnranked

Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.

Which should you pick?

  • On price, DeepSeek V4.1 Flash: ¥202.74 per 1M output tokens, 98% less than GPT-6 Astra.
  • For long documents, GPT-6 Astra: a 1,050,000-token context window against 1,048,576 for DeepSeek V4.1 Flash.
  • If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.

Real answers to the same prompts

Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

DeepSeek V4.1 Flash

The word **“strawberry”** has **3** letter **“r”**s. Step-by-step: 1. Spell it out: **s t r a w b e r r y** 2. Find each **r**: - Position 3: **r** in “str” - Position 8: first **r** in “berry” - Position 9: second **r** in “berry” 3. Total: **3** **Answer: 3**
7.5s226 output tokens

GPT-6 Astra

“strawberry” is spelled **s-t-r-a-w-b-e-r-r-y**. The letter **r** appears in positions **3, 8, and 9**, so there are **3 r’s**.
3.8s85 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

DeepSeek V4.1 Flash

The error means that `users` is `undefined` when `UserList` renders, so JavaScript cannot call `.map()` on it. Your component expects a `users` prop: ```jsx function UserList({ users }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` But it is being rendered without `users`, or `users` has not loaded yet. Common causes: 1. Parent renders it without the prop: ```jsx <UserList /> ``` instead of: ```jsx <UserList users={users} /> ``` 2. The prop name is different: ```jsx <UserList userList={users} /> ``` 3. The data is fetched asynchronously and is initially `undefined`: ```jsx const [users, setUsers] = useState(); useEffect(…
16.0s945 output tokens

GPT-6 Astra

The error means **`users` is `undefined` when React renders `UserList`**, so calling `users.map(...)` fails. This commonly happens when the parent doesn’t pass the prop or when data hasn’t finished loading. ### 1. Default `users` to an empty array If an absent prop should mean “no users,” use a default value: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This handles a missing or `undefined` prop, but **not `null` or other non-array values**. ### 2. Check where the prop comes from Make sure the parent passes an array. For data loaded asynchronously, initialize state to…
6.7s380 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

DeepSeek V4.1 Flash

Here are the main improvements: - Move imports to module level. - Avoid bare `except`; catch specific exceptions. - Use a `requests.Session` for connection reuse. - Retry only transient network/HTTP failures, not all errors. - Use exponential backoff and don’t sleep after the final attempt. - Use a list comprehension for readability/performance. - Add type hints, logging, constants, and basic JSON validation. - Avoid `== True`; use `is True` or a truthy check depending on API contract. Example refactor: ```python from __future__ import annotations import logging import time from typing import Any import requests logger = logging.getLogger(__name__) TIMEOUT = (3.05, 10) # connect time…
31.5s5142 output tokens

GPT-6 Astra

The function is compact, but its biggest issue is that **all failures silently become `[]`**, making an unavailable API indistinguishable from a successful response with no active items. ### Suggested improvements - **Move imports to module scope** for clarity and conventional organization. - **Avoid bare `except:`.** It catches everything, including `KeyboardInterrupt`, and hides bugs such as missing dictionary keys. - **Retry only transient failures**, such as connection errors, timeouts, rate limiting, and selected server errors. Retrying a `401` or `404` usually won’t help. - **Don’t sleep after the final failed attempt.** Use exponential backoff rather than a fixed delay. - **Use desc…
19.2s965 output tokens

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Frequently asked questions

Which is cheaper, DeepSeek V4.1 Flash or GPT-6 Astra?
Per 1M output tokens, DeepSeek V4.1 Flash is ¥202.74 and GPT-6 Astra is ¥8,588.62 on FastMetal (yen, before tax), so DeepSeek V4.1 Flash is cheaper.
How do the context windows of DeepSeek V4.1 Flash and GPT-6 Astra compare?
DeepSeek V4.1 Flash takes 1,048,576 tokens; GPT-6 Astra takes 1,050,000.
Can I use DeepSeek V4.1 Flash and GPT-6 Astra with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4.1-flash" or "gpt-6-astra" as the model. Each is billed at its own rate from the same prepaid balance.

Try both on one API key

Create an account and add credit to call DeepSeek V4.1 Flash and GPT-6 Astra from the browser chat and the API. No monthly fee.

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